2016-12-27 85 views
0

我使用了散景网站上给出的嵌入式.html示例:http://bokeh.pydata.org/en/latest/docs/user_guide/embed.html。注意我正在使用散景12.3。这些图很好地显示,但文本呈现为脚本函数的确切输出 - 包括'{'和'\ n'字符。散景剧情标记呈现问题

散射功能:

from bokeh.plotting import figure 
from bokeh.models import Range1d 
from bokeh.embed import components 

def scatter(): 
    # create some data 
    x1 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 
    y1 = [0, 8, 2, 4, 6, 9, 5, 6, 25, 28, 4, 7] 
    x2 = [2, 5, 7, 15, 18, 19, 25, 28, 9, 10, 4] 
    y2 = [2, 4, 6, 9, 15, 18, 0, 8, 2, 25, 28] 
    x3 = [0, 1, 0, 8, 2, 4, 6, 9, 7, 8, 9] 
    y3 = [0, 8, 4, 6, 9, 15, 18, 19, 19, 25, 28] 

    # select the tools we want 
    TOOLS="pan,wheel_zoom,box_zoom,reset,save" 

    # the red and blue graphs will share this data range 
    xr1 = Range1d(start=0, end=30) 
    yr1 = Range1d(start=0, end=30) 

    # only the green will use this data range 
    xr2 = Range1d(start=0, end=30) 
    yr2 = Range1d(start=0, end=30) 

    # build our figures 
    p1 = figure(x_range=xr1, y_range=yr1, tools=TOOLS, plot_width=300, plot_height=300) 
    p1.scatter(x1, y1, size=12, color="red", alpha=0.5) 

    p2 = figure(x_range=xr1, y_range=yr1, tools=TOOLS, plot_width=300, plot_height=300) 
    p2.scatter(x2, y2, size=12, color="blue", alpha=0.5) 

    p3 = figure(x_range=xr2, y_range=yr2, tools=TOOLS, plot_width=300, plot_height=300) 
    p3.scatter(x3, y3, size=12, color="green", alpha=0.5) 

    # plots can be a single Bokeh Model, a list/tuple, or even a dictionary 
    plots = {'Red': p1, 'Blue': p2, 'Green': p3} 

    script, div = components(plots) 
    return script, div 

我烧瓶代码:

script, div = scatter() 
return self.render_template('bokeh_example.html', script=script, div=div) 

bokeh_example.html:

<!DOCTYPE html> 
<html lang="en"> 
    <head> 
     <meta charset="utf-8"> 
     <link rel="stylesheet" href="http://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.css" type="text/css" /> 
     <script type="text/javascript" src="http://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.js"></script> 
     {{ script | safe }} 
</head> 
<body> 
    <div class='bokeh'> 
     <h1>Scatter Example</h1> 
     {{ div | safe }} 
    </div> 
</body> 
</html> 

的曲线显示效果细腻,但股利文本呈现为文字:

{'Red': '\n #this text displays instead of just the string 'Red' 
\n    #this displays on next line in smaller font 
#plot displays fine here 
\n    #this text displays after the plot instead of creating a blank line. 

任何线索?

+0

我有一个(可能的)线索,但是你遗漏了最相关的部分,这是你实际传递给Bokeh的'components'功能的东西。请使用该信息更新您的问题。 – bigreddot

+0

@bigreddot我已经添加了分散功能。干杯 –

回答

1

你传入地块的字典components

plots = {'Red': p1, 'Blue': p2, 'Green': p3} 

script, div = components(plots) 
return script, div 

这意味着(每documentation)的结果是不是一个单一的脚本和一个单一的股利。相反,它是一个脚本和字典映射你的原来的名称,以多个div:

components({"Red": p1, "Blue": p2, "Green": p3}) 
#=> (script, {"Red": p1_div, "Blue": p2_div, "Green": p3_div}) 

现在你正试图将自身字典模板到HTML中。据推测,Jinja只是在字典上调用str将其变成一个字符串,浏览器不知道该怎么做。您需要分别在components返回的字典中为每个div制作一个模板。

对于一个适当的更新的模板,可能看起来像:

script, divs = scatter() # notice plural: divS 
return self.render_template(
    'bokeh_example.html', 
    script=script, 
    div_red=divs['Red'], 
    div_blue=divs['Blue'], 
    div_green=divs['Green'], 
) 

或者你也可能会更新模板超过divs迭代直接使用一些Jinja2的的能力用于遍历是集合模板参数。